Prediction of burr formation in fabricating MEMS components by micro end milling
This paper discusses burr formation in micromilling of AISI 304 stainless steel. Chip load, cutting speed and the application of coolant were chosen as the milling parameters. Experiments were conducted using 500 µm diameter tungsten carbide end milling tool. Milling parameters and measured burr hei...
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Trans Tech Publications Ltd., Switzerland
2009
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my.iium.irep.10212011-07-18T04:23:46Z http://irep.iium.edu.my/1021/ Prediction of burr formation in fabricating MEMS components by micro end milling Ali, Mohammad Yeakub Omar, Mohd Aliff Othman, Khairul Irman Hung, Wayne N.P. TJ Mechanical engineering and machinery This paper discusses burr formation in micromilling of AISI 304 stainless steel. Chip load, cutting speed and the application of coolant were chosen as the milling parameters. Experiments were conducted using 500 µm diameter tungsten carbide end milling tool. Milling parameters and measured burr height values were analyzed and statistical models were developed for the estimation of burr height. The models showed that the chip load and cutting speed both have direct and interactive contribution to burr formation. When micromachining without coolant, the burr height increases about 40% compared to that of machining with coolant. The optimized values of chip load and cutting speed were found to be 1 µm/tooth and 78 mms-1 respectively. The predicted burr heights were 5-7% larger than that of measured values. Trans Tech Publications Ltd., Switzerland 2009 Article REM application/pdf en http://irep.iium.edu.my/1021/1/Prediction_of_Burr_formation_in_fabricating_MEMs_components_by_micro_end_miling.pdf Ali, Mohammad Yeakub and Omar, Mohd Aliff and Othman, Khairul Irman and Hung, Wayne N.P. (2009) Prediction of burr formation in fabricating MEMS components by micro end milling. Advanced Materials Research, 74. pp. 247-250. ISSN 1662-8985 http://www.scientific.net/AMR.74.247 DOI 10.4028/www.scientific.net/AMR.74.247 |
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TJ Mechanical engineering and machinery Ali, Mohammad Yeakub Omar, Mohd Aliff Othman, Khairul Irman Hung, Wayne N.P. Prediction of burr formation in fabricating MEMS components by micro end milling |
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This paper discusses burr formation in micromilling of AISI 304 stainless steel. Chip load, cutting speed and the application of coolant were chosen as the milling parameters. Experiments were conducted using 500 µm diameter tungsten carbide end milling tool. Milling parameters and measured burr height values were analyzed and statistical models were developed for the estimation of burr height. The models showed that the chip load and cutting speed both have direct and interactive contribution to burr formation. When micromachining without coolant, the burr height increases about 40% compared to that of machining with coolant. The optimized values of chip load and cutting speed were found to be 1 µm/tooth and 78 mms-1 respectively. The predicted burr heights were 5-7% larger than that of measured values. |
format |
Article |
author |
Ali, Mohammad Yeakub Omar, Mohd Aliff Othman, Khairul Irman Hung, Wayne N.P. |
author_facet |
Ali, Mohammad Yeakub Omar, Mohd Aliff Othman, Khairul Irman Hung, Wayne N.P. |
author_sort |
Ali, Mohammad Yeakub |
title |
Prediction of burr formation in fabricating MEMS components by micro end milling |
title_short |
Prediction of burr formation in fabricating MEMS components by micro end milling |
title_full |
Prediction of burr formation in fabricating MEMS components by micro end milling |
title_fullStr |
Prediction of burr formation in fabricating MEMS components by micro end milling |
title_full_unstemmed |
Prediction of burr formation in fabricating MEMS components by micro end milling |
title_sort |
prediction of burr formation in fabricating mems components by micro end milling |
publisher |
Trans Tech Publications Ltd., Switzerland |
publishDate |
2009 |
url |
http://irep.iium.edu.my/1021/1/Prediction_of_Burr_formation_in_fabricating_MEMs_components_by_micro_end_miling.pdf http://irep.iium.edu.my/1021/ http://www.scientific.net/AMR.74.247 |
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